ESTIMATING MOMENTS OF THE SURVIVAL TIME FROM CENSORED OBSERVATIONS
한국수학교육학회지시리즈B:순수및응용수학 / Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics, (P)1226-0657; (E)2287-6081
1995, v.2 no.2, pp.83-89
Jung, In-Ha
(Dept. of Computer Science and Statistics, Ajou University)
Lee, Kang-Sup
(Dept. of Computer Science and Statistics, Dankook University)
Jung, In-Ha,
&
Lee, Kang-Sup.
(1995). ESTIMATING MOMENTS OF THE SURVIVAL TIME FROM CENSORED OBSERVATIONS. 한국수학교육학회지시리즈B:순수및응용수학, 2(2), 83-89.
Abstract
A Bayes estimator of the survival distribution function due to Susarla and Van Ryzin(1976) is used to estimate the mth moment of a survival time on the basis of censored observations in a random censorship model. Asymptotic normality of the estimator is proved using the functional version of the delta method.